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Pré-Publication, Document De Travail Année : 2015

MODEL-DRIVEN PARAMETERIZATION OF FETAL CORTICAL SURFACES

Résumé

Surface-based analysis is a tool of choice to study the anatomy and function of the cortex in adult and children brains. Common surface registration approaches are not adaptable to fetal data since data-driven mapping techniques are limited by the lack of structural features across all ges-tational ages. In this work, we adapt the HIP-HOP model-driven cortical surface parameterization method to the spe-cific problem of defining correspondences across fetuses with different gestational ages. We demonstrate the validity of our approach by quantifying the curvature evolution during de-velopment. Our findings are highly consistent with previous studies. This work is the first demonstration of the feasibility of applying surface-based mapping and analysis to fetal data.
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Dates et versions

hal-01114993 , version 1 (10-02-2015)

Identifiants

  • HAL Id : hal-01114993 , version 1

Citer

Guillaume Auzias, François de Guio, Antonietta Pepe, François Rousseau, Jean-François Mangin, et al.. MODEL-DRIVEN PARAMETERIZATION OF FETAL CORTICAL SURFACES. 2015. ⟨hal-01114993⟩
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